ArticleBMC proceedings2014
Data for Genetic Analysis Workshop 18: human whole genome sequence, blood pressure, and simulated phenotypes in extended pedigrees.
Article in BMC proceedings, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
53 citing papers in PubMed, 70 citations in OpenAlex.
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- Family-based gene-environment interaction using sequence kernel association test (FGE-SKAT) for complex quantitative traits.Scientific reports · 2021Article
- Robust Rare-Variant Association Tests For Quantitative Traits in General Pedigrees.Statistics in biosciences · 2018Article
- A Family-Based Rare Haplotype Association Method for Quantitative Traits.Human heredity · 2018Article
- Incorporating the single-step strategy into a random regression model to enhance genomic prediction of longitudinal traits.Heredity · 2017Article
- Longitudinal data analysis for rare variants detection with penalized quadratic inference function.Scientific reports · 2017Article
- Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.Scientific reports · 2017Article
- Comparison of haplotype-based statistical tests for disease association with rare and common variants.Briefings in bioinformatics · 2016Article
- Prosaposin is a regulator of progranulin levels and oligomerization.Nature communications · 2016Article
- Conditioning adaptive combination of P-values method to analyze case-parent trios with or without population controls.Scientific reports · 2016Article
- Family-based approaches: design, imputation, analysis, and beyond.BMC genetics · 2016Article
- Longitudinal analytical approaches to genetic data.BMC genetics · 2016Article
- Filtering genetic variants and placing informative priors based on putative biological function.BMC genetics · 2016Article
- Model-free Estimation of Recent Genetic Relatedness.American journal of human genetics · 2016Article
- Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19.BMC proceedings · 2016Article
- Genome-wide association of trajectories of systolic blood pressure change.BMC proceedings · 2016Article
- Assessing transmission ratio distortion in extended families: a comparison of analysis methods.BMC proceedings · 2016Article
- Transmission and decorrelation methods for detecting rare variants using sequencing data from related individuals.BMC proceedings · 2016Article
- Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data.BMC proceedings · 2016Article
- Comparison of 2 models for gene-environment interactions: an example of simulated gene-medication interactions on systolic blood pressure in family-based data.BMC proceedings · 2016Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 2 countries.
Funding
Abstract
Genetic Analysis Workshop 18 (GAW18) focused on identification of genes and functional variants that influence complex phenotypes in human sequence data. Data for the workshop were donated by the T2D-GENES Consortium and included whole genome sequences for odd-numbered autosomes in 464 key individuals selected from 20 Mexican American families, a dense set of single-nucleotide polymorphisms in 959 individuals in these families, and longitudinal data on systolic and diastolic blood pressure measured at 1-4 examinations over a period of 20 years. Simulated phenotypes were generated based on the real sequence data and pedigree structures. In the design of the simulation model, gene expression measures from the San Antonio Family Heart Study (not distributed as part of the GAW18 data) were used to identify genes whose mRNA levels were correlated with blood pressure. Observed variants within these genes were designated as functional in the GAW18 simulation if they were nonsynonymous and predicted to have deleterious effects on protein function or if they were noncoding and associated with mRNA levels. Two simulated longitudinal phenotypes were modeled to have the same trait distributions as the real systolic and diastolic blood pressure data, with effects of age, sex, and medication use, including a genotype-medication interaction. For each phenotype, more than 1000 sequence variants in more than 200 genes present on the odd-numbered autosomes individually explained less than 0.01-2.78% of phenotypic variance. Cumulatively, variants in the most influential gene explained 7.79% of trait variance. An additional simulated phenotype, Q1, was designed to be correlated among family members but to not be associated with any sequence variants. Two hundred replicates of the phenotypes were simulated, with each including data for 849 individuals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.